FedML VS Federated-Learning-in-PyTorch

Compare FedML vs Federated-Learning-in-PyTorch and see what are their differences.

FedML

FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, FEDML Nexus AI (https://fedml.ai) is your generative AI platform at scale. (by FedML-AI)
federated-learning Deep Learning distributed-training Blockchain edge-ai Machine Learning on-device-training inference-engine Marketplace Mlops Privacy Security
Source Code
fedml.ai
Suggest alternative
Edit details

Federated-Learning-in-PyTorch

Handy PyTorch implementation of Federated Learning (for your painless research) (by vaseline555)
federated-learning Pytorch fedavg fedprox fedsgd leaf-benchmark Deep Learning fedadagrad fedadam fedopt fedyogi
Source Code
Suggest alternative
Edit details
WorkOS
Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
Our great sponsors
FedML Federated-Learning-in-PyTorch
6 1
4,060 361
1.9% -
9.9 7.4
5 days ago 6 months ago
Python Python
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

FedML

Posts with mentions or reviews of FedML. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-22.

Federated-Learning-in-PyTorch

Posts with mentions or reviews of Federated-Learning-in-PyTorch. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing FedML and Federated-Learning-in-PyTorch you can also consider the following projects:

federated-xgboost - Federated gradient boosted decision tree learning

FedScale - FedScale is a scalable and extensible open-source federated learning (FL) platform.

alpa - Training and serving large-scale neural networks with auto parallelization.

msrflute - Federated Learning Utilities and Tools for Experimentation

experta - Expert Systems for Python

HandyRL - HandyRL is a handy and simple framework based on Python and PyTorch for distributed reinforcement learning that is applicable to your own environments.

adaptdl - Resource-adaptive cluster scheduler for deep learning training.

MetisFL - The first open Federated Learning framework implemented in C++ and Python.

hivemind - Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.

speech-to-text-benchmark - speech to text benchmark framework

auto-split - Auto-Split: A General Framework of Collaborative Edge-Cloud AI

openfl - An open framework for Federated Learning.

FedML vs federated-xgboost Federated-Learning-in-PyTorch vs FedScale FedML vs alpa Federated-Learning-in-PyTorch vs msrflute FedML vs experta FedML vs HandyRL FedML vs adaptdl FedML vs MetisFL FedML vs hivemind FedML vs speech-to-text-benchmark FedML vs auto-split FedML vs openfl